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CASE STUDY · SaaS & Software Engineering

2.4× Engineering Velocity Without Inflating Burn

Facing a post-Series-B roadmap, a 10-month US hiring pipeline, and investor pressure to protect burn multiple, the firm built a dedicated 8-person remote product team covering frontend, backend, QA, DevOps, and product design — now shipping inside Linear + GitHub on a 2-week sprint cadence.

2.4×
Engineering velocity
68%
Lower engineering cost per sprint point
12 days
Team deployed end-to-end

Available Candidates

Pre-vetted professionals ready to start

Client Snapshot

At a glance.

Industry
SaaS & Software Engineering
Company Size
$28M ARR, Series B, 60 engineers
Geography
United States & Europe
Stack
React, Node.js, PostgreSQL, AWS, GitHub, Linear, Datadog, Vercel
The Challenge

What wasn't working.

Post-Series-B, the firm had the roadmap but not the bench. US engineering hiring was running at a 10-month average time-to-productive, and the board had set a burn-multiple target that ruled out the obvious fix of simply hiring 12 more senior engineers.

1

Roadmap debt was compounding against the next round

Investor-visible shipping metrics were slipping. The firm had committed to 6 major feature releases in 12 months and was tracking at 2.5 on baseline velocity — a gap that was going to become the dominant narrative at the Series C.

2

US hiring couldn't keep pace with the board plan

A senior US engineer cost $180K–$240K fully loaded with a 10-month ramp to productive output. To meet the roadmap the firm needed 10–12 new engineers inside six months — structurally impossible at US-market compensation and time-to-hire.

3

Staff augmentation wasn't solving it either

Two previous agency engagements had delivered contractor-style throughput but no continuity, no ownership, and no documented code. Every feature shipped by an agency became maintenance debt for the in-house team, and net velocity went backward within a quarter.

We had the capital, the roadmap and the PMF. What we didn't have was 12 senior engineers we could onboard in six months at a sustainable burn. The math said offshore; the fear was quality. We needed to prove both could be true.
CTO
Venture-Backed SaaS Company (name withheld — NDA), Venture-Backed SaaS Company (name withheld — NDA)
★★★★★
The Solution

A pre-vetted Zedtreeo pod.

Zedtreeo deployed a dedicated 8-person remote product pod within 12 business days. Unlike an agency engagement, the pod was structured as a permanent embedded squad — feature-team-style ownership of two core product surfaces, operating inside the client's Linear + GitHub workflow with the client's staff engineer as technical lead.

Team Composition Deployed

A full-stack product engineering pod sized to absorb two product surfaces end-to-end — feature delivery, QA, and on-call — without creating maintenance debt for the in-house team.

Senior Full-Stack Engineer (Squad Lead)
React + Node.js feature ownership, architecture decisions, code review, technical design docs, in-house collaboration point.
Backend Engineer
Node.js services, PostgreSQL schema design, event pipelines, API contracts, performance optimization, observability.
QA Automation Engineer
Playwright + Jest automated suites, CI test integration, flakiness triage, release-gate ownership, regression coverage.
DevOps & Platform Engineer
AWS infra as code, GitHub Actions pipelines, Datadog monitoring, on-call rotation, incident response automation.

Tools & AI Stack Deployed

The pod operates in the client's existing stack — React, Node.js, PostgreSQL, AWS, GitHub, Linear, Datadog, and Vercel — with code-review discipline, CI/CD ownership, runbook authoring, and Datadog alerting integrated into the shared on-call rotation from day one. internal controls aligned with the SOC 2 framework, signed IP assignment, and VPN-based repo access provisioned from day one.

Execution Timeline

How it rolled out.

1
Week 1

Week 1 — Kickoff & Clearance

Requirements call, IP assignment attestation, GitHub + AWS access provisioning. Shortlisted pod interviewed by CTO & Staff Engineer in 48 hours.

2
Week 2–4

Weeks 2–4 — Onboarding

5-day paid trial on live roadmap tickets. Codebase walk-through, CI/CD permission model, Linear project handover, first PR merged day 8.

3
Month 2–3

Month 2 — Velocity Ramp

Full squad ownership of two product surfaces. Sprint velocity ramps from 28 to 64 story points. First feature release shipped on plan.

4
Month 4–6

Months 3–6 — Series C Story

2.4× baseline velocity held. 68% cost-per-sprint-point reduction booked. Pod extended to cover a third product surface. Burn multiple improves 0.4x.

The Results

What changed.

Within one quarter, the engineering narrative for the Series C changed from 'roadmap slipping' to 'roadmap accelerating'. Velocity doubled, burn improved, and the in-house team's code ownership stayed intact.

Performance Before → After

Measured improvements across 90 days post-onboarding of the engagement.

Engineering velocity (story points/sprint)+2.4× faster
Before: Before: 28After: After: 67
Cost per sprint point+68% lower
Before: Before: $3,850After: After: $1,230
Time-to-productive (new hire)+95% faster
Before: Before: 10 monthsAfter: After: 2 weeks
Engineering burn (annual)−68%
Before: Before: $1.94MAfter: After: $620K
ROI

Zedtreeo vs in-house hire.

68%
Cost Saved

12-Month Cost Breakdown

Line ItemIn-House (US)Zedtreeo
Salary + Benefits$1,740,000$620,000
Recruitment$96,000Included
HR & Compliance$84,000Included
Tools$38,000Included
Total Annual$1,958,000$620,000
Client Testimonial

In their own words.

The Zedtreeo squad writes the way our senior engineers write — documented, tested, code-reviewed by us, deployed through our CI/CD. They're not contractors we're managing; they're a remote squad we're shipping with. We 2.4×'d velocity without inflating burn, and the Series C story changed in a quarter.
CTO
Venture-Backed SaaS Company (name withheld — NDA), Venture-Backed SaaS Company (name withheld — NDA)
★★★★★
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